FriendQuest: Social Networking using User Matching Algorithms and Leaflet JS.

In an era where digitalization has transformed social interactions, many individuals struggle to find companionship for everyday activities, leading to increased feelings of isolation. FriendQuest is a web-based platform designed to bridge this gap by connecting people based on shared interests and availability for activities such as shopping, social gatherings, and movie outings. The platform utilizes an intelligent matching algorithm to recommend suitable companions while ensuring a secure and user-friendly experience through robust safety mechanisms and detailed user profiles. Leaflet JS is integrated for interactive location-based services, enhancing the platform’s efficiency in identifying potential activity partners within a user’s proximity. Additional features such as real-time chat using Socket.io, GPS location tracking and interactive maps with nearby user recommendations further enhance the user experience. By fostering meaningful social connections, FriendQuest aims to enhance emotional well-being and encourage active participation in social activities.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-19
DOI
https://doi.org/10.55041/ijsrem45161
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

FriendQuest: Social Networking using User Matching Algorithms and Leaflet JS.

Gopal Gupta
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Recommender Systems and Techniques
article

FriendQuest: Social Networking using User Matching Algorithms and Leaflet JS.

Gopal Gupta
article en

Abstract

In an era where digitalization has transformed social interactions, many individuals struggle to find companionship for everyday activities, leading to increased feelings of isolation. FriendQuest is a web-based platform designed to bridge this gap by connecting people based on shared interests and availability for activities such as shopping, social gatherings, and movie outings. The platform utilizes an intelligent matching algorithm to recommend suitable companions while ensuring a secure and user-friendly experience through robust safety mechanisms and detailed user profiles. Leaflet JS is integrated for interactive location-based services, enhancing the platform’s efficiency in identifying potential activity partners within a user’s proximity. Additional features such as real-time chat using Socket.io, GPS location tracking and interactive maps with nearby user recommendations further enhance the user experience. By fostering meaningful social connections, FriendQuest aims to enhance emotional well-being and encourage active participation in social activities.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
Openalex Percentile: Top 90%
Recommender Systems and Techniques
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